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- 3Bowling, Michael
- 3Schaeffer, Jonathan
- 3Zinkevich, Martin
- 2Billings, Darse
- 2Johanson, Michael
- 2Lanctot, Marc
Technical report TR06-07. The development of the Ignorant Value Assessment Tool (DIVAT) for two-player Limit Texas Hold'em is discussed in detail. The tool is then applied to several poker matches to obtain a statistically unbiased reduced-variance analysis of skill differences. Please note:...
Technical report TR95-22. Games are an interesting and challenging domain for computer science research, having the nice characteristics of a clearly defined set of rules and a specific goal. Developing a program to play a strategic game well often involves the application of theoretical...
Technical report TR07-15. Adaptation to other initially unknown agents often requires computing an effective counter-strategy. In the Bayesian paradigm, one must find a good counter-strategy to the inferred posterior of the other agents' behavior. In the experts paradigm, one may want to choose...
Fuegito is an educational software package for learning about programming two player games. The package provides a simple, yet flexible and extensible framework which allows students to study the core search algorithms of computer game-playing, and extend them easily in projects. The current...
Technical report TR09-08. Fuego is an open-source software framework for developing game engines for full-information two-player board games, with a focus on the game of Go. It was mainly developed by the Computer Go group of the University of Alberta. Fuego includes a Go engine with a playing...
Technical report TR09-09. The 14th Computer Olympiad took place in Pamplona, Spain from May 11-18, 2009. The Fuego program won the 9 times 9 Go competition, and took second place in 19 times 19 Go. This report provides some analysis of the games played by Fuego in the competition. | TRID-ID TR09-09
Fuego-GB Prototype at the Human machine competition in Barcelona 2010: a Tournament Report and AnalysisDownload
Technical report TR10-08. A Human vs Computer Go competition took place in Barcelona, Spain on July 20, 2010. This report provides a report and some analysis of the games played by FUEGO-GB PROTOTYPE in this event. The program played well in its 9 x 9 games with White, winning against...
In large extensive form games with imperfect information, Counterfactual Regret Minimization (CFR) is a popular, iterative algorithm for computing approximate Nash equilibria. While the base algorithm performs a full tree traversal on each iteration, Monte Carlo CFR (MCCFR) reduces the per...
Technical report TR92-19. In August 1992, the first man versus machine world championship took place. The champion, Dr. Marion Tinsley, is arguably the greatest checkers player that ever lived. The challenger was the computer checkers program Chinook, a 3 year team effort from the University of...
Technical report TR09-15. Sequential decision-making with multiple agents and imperfect information is commonly modeled as an extensive game. One efficient method for computing Nash equilibria in large, zero-sum, imperfect information games is counterfactual regret minimization (CFR). In the...